RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
Comparison · Analytics
Dagster vs modeltime.resample
A side-by-side editorial comparison of Dagster and modeltime.resample — release velocity, themes, recent moves, and the top alternatives to consider.
Dagster vs modeltime.resample: at a glance
What is Dagster?
Dagster is turning declarative automation from an asset feature into the way the whole platform schedules work.
Dagster ships a core/libraries pair on a near-weekly cadence, and the release notes read like an engineering log: a few genuinely new capabilities per version, a long bugfix tail, and steady community contributions. The current cycle is concentrated in three places — Declarative Automation, the dbt-on-Snowflake integration, and asset health reporting. Serverless and Kubernetes deployment paths get frequent hardening.
What is modeltime.resample?
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.
Dagster vs modeltime.resample: editorial side-by-side
Dagster
6.3ANALYTICS
Dagster is turning declarative automation from an asset feature into the way the whole platform schedules work.
◆ Current state
Dagster ships a core/libraries pair on a near-weekly cadence, and the release notes read like an engineering log: a few genuinely new capabilities per version, a long bugfix tail, and steady community contributions. The current cycle is concentrated in three places — Declarative Automation, the dbt-on-Snowflake integration, and asset health reporting. Serverless and Kubernetes deployment paths get frequent hardening.
◆ Where it's heading
Declarative Automation is expanding past its original asset scope: it can now launch entire jobs from a condition, with its own evaluation history tab. In parallel, the component model is becoming the packaging unit for integrations, with SnowflakeDbtProjectComponent moving from preview toward parity with DbtCloudComponent via versioned state storage. Asset health is being made more honest — failures pending an automatic retry now warn rather than report degraded, so alerts stop crying wolf.
◆ Prediction
Declarative Automation for jobs is the clearest candidate to graduate from preview, and SnowflakeDbtProjectComponent is following the same preview-to-parity path. Expect the component surface to keep absorbing integrations that were previously bespoke code.
modeltime.resample
0.0ANALYTICS
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
◆ Current state
modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.
◆ Where it's heading
Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.
◆ Prediction
Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.
Alternatives to Dagster and modeltime.resample
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Dagster or modeltime.resample.
geoarrow-r
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all Dagster alternatives → · See all modeltime.resample alternatives →
Recent activity from Dagster and modeltime.resample
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18h agoDagsterPartition-level retry warnings and defs_state for the Snowflake dbt component
- 7d agoDagsterRetry-pending failures now warn instead of degrading
- 15d agoDagsterDeclarative Automation can now launch jobs (preview) ⚡
- 22d agoDagsterSnowflake dbt component preview and MCP server docs
- 29d agoDagsterServerless I/O manager 401 and 400 errors fixed
- 1mo agoDagsterInstall-time protobuf version conflict fixed
- 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
- 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
- 3y agomodeltime.resampleFixes workflows in regression mode
- 4y agomodeltime.resampleUpdates for hardhat 1.0.0
Frequently asked questions
What is the difference between Dagster and modeltime.resample?
They serve adjacent needs but don't currently overlap on shipped themes. Dagster is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Dagster better than modeltime.resample?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Dagster?
Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster for the full list with editorial commentary on each.
What are the best alternatives to modeltime.resample?
Top modeltime.resample alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime.resample alternatives" section above for the current picks, or visit /alternatives/modeltime-resample for the full list with editorial commentary on each.